Applied Generative AI Engineer

Overview

We are looking for an Applied Generative AI Consultant to design, implement, and optimise Element applied generative AI solutions. This role requires a blend of technical expertise, strategic thinking, and business acumen to help organisations leverage AI for measurable impact. You will guide users through the full lifecycle—from ideation and proof-of-concept to deployment and scaling—ensuring solutions are ethical, secure, and aligned with industry best practices.

• Assess business needs and identify opportunities for generative AI adoption.
• Conduct discovery sessions with users to understand business challenges and identify AI opportunities.
• Develop AI roadmaps and solution architectures tailored to business objectives.
• Contribute to internal research initiatives and publish findings on emerging generative AI trends.

• Architect end-to-end generative AI solutions, including model selection, data pipelines, and deployment frameworks.
• Oversee proof-of-concept development and validate technical feasibility before scaling.
• Recommend and configure generative AI models (LLMs, multimodal systems) for specific use cases.
• Oversee integration of AI capabilities into business workflows and platforms.
• Recommend on technology stack selection and integration strategies for generative AI solutions.

• Provide guidance on data preparation, model fine-tuning, and deployment strategies.
• Advise on MLOps, cloud infrastructure, and scalability considerations.
• Mentor junior engineers and share best practices across teams.

• Ensure adherence to ethical AI principles, data privacy regulations, and security standards.
• Conduct risk assessments and implement mitigation strategies for AI systems.
• Support users in selecting cloud platforms and optimizing cost-performance trade-offs.

• Design and deliver workshops to educate teams on generative AI fundamentals and advanced techniques.
• Create documentation, playbooks, and knowledge repositories for ongoing support.
• Act as a trusted advisor for continuous improvement and innovation in AI adoption.

• Experience in industry-specific AI applications (finance, healthcare, retail, etc.).
• Knowledge of AI governance frameworks and regulatory compliance.
• Business & Strategy Alignment:
  Ability to translate technical AI concepts into actionable business strategies and ROI models.
• Industry Knowledge:
  Deep understanding of regulatory frameworks and compliance standards in sectors like finance, healthcare, or government.
• Change Management:
  Experience in guiding organizations through AI adoption and digital transformation.
• Vendor & Tool Evaluation:
  Familiarity with leading AI platforms and ability to recommend best-fit solutions for the users.
• Ethical AI & Governance:
  Expertise in bias mitigation, responsible AI practices, and risk management frameworks.
• Training & Enablement:
  Ability to design and deliver executive-level workshops and technical training programs.
• Stakeholder Communication:
  Strong presentation and negotiation skills for C-suite and technical audiences.
• Emerging Tech Awareness:
  Knowledge of trends in generative AI, multimodal systems, and AI-driven automation.

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• 5+ years of experience in AI consulting, solution architecture, or applied machine learning.
• Strong understanding of generative AI models, prompt engineering, and RAG pipelines.
• Familiarity with cloud platforms (AWS, Azure etc) and enterprise integration patterns.
• Excellent communication and stakeholder management skills.

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Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.

When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D,…